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12/07/2026 12:26 pm
TL;DR: Chinese money laundering networks processed about $16.1 billion in 2025, accounting for roughly 20% of known illicit crypto laundering, with activity scaling far faster than exchange-based inflows and spreading across six distinct service types, according to Chainalysis. The governance challenge is no longer isolated platforms but resilient laundering infrastructure that adapts when enforcement shifts pressure elsewhere.
NHIMG editorial — based on content published by Chainalysis: Chinese money laundering networks now anchor crypto crime flows
By the numbers:
- Chainalysis says the growth in flows into these networks since 2020 has been 7,325 times faster than growth into centralised exchanges.
Questions worth separating out
Q: What breaks when mule accounts are treated as ordinary payment users?
A: When mule accounts are treated as ordinary users, teams miss the fact that the account holder may not control the activity at all.
Q: Why do laundering networks rely on many small transfers instead of single large moves?
A: Many small transfers help operators avoid threshold-based detection and make suspicious activity look fragmented rather than coordinated.
Q: How do security and fraud teams know if account abuse is part of laundering?
A: Look for behavioural clusters, not isolated events.
Practitioner guidance
- Strengthen account ownership verification Require stronger proof of control for bank accounts, exchange accounts, and wallets that move high-value funds or frequently change counterparties.
- Monitor for structuring and aggregation together Track wallet behaviour that breaks large transfers into many small ones and also the reverse pattern where many small flows are consolidated into a few wallets.
- Correlate mule behaviour with identity lifecycle events Link payment anomalies to onboarding, offboarding, reactivation, and beneficiary-change events so teams can see when legitimate accounts are being repurposed for laundering.
What's in the full report
Chainalysis's full report covers the operational detail this post intentionally leaves for the source:
- Wallet-by-wallet breakdowns of the six laundering service types and their distinct on-chain patterns.
- Transaction-flow visuals showing how structuring and aggregation change as funds move through the ecosystem.
- Service-level timing data that compares how quickly automated and human-run operators settle high-value transfers.
- The report’s enforcement and disruption analysis, including why pressure on one platform often shifts activity elsewhere.
👉 Read Chainalysis's analysis of Chinese money laundering networks and crypto crime flows →
Chinese money laundering networks: what IAM and fraud teams should watch?
Explore further
12/07/2026 12:39 pm
Chinese money laundering networks are a delegated identity problem as much as a financial crime problem. The article’s most important signal is that the laundering layer depends on accounts, wallets, and exchange identities that can be rented, pooled, or operationalised by third parties. That makes the control failure one of identity ownership and lifecycle governance, not just blockchain visibility. For practitioners, the lesson is that account legitimacy must be treated as an active control surface, not a static assumption.
A question worth separating out:
Q: Who is accountable when laundering services move across platforms and jurisdictions?
A: Accountability should sit with the institutions that onboard, enable, or process the activity, not only the marketplace where it is advertised. That includes exchanges, payment providers, and platform operators with KYC, monitoring, and offboarding obligations. Cross-border coordination is essential because displacement across jurisdictions is part of the operating model.
👉 Read our full editorial: Chinese money laundering networks now anchor crypto crime flows
